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Reduced Complexity Decision Feedback Channel Equalizer using Series Expansion Division

Authors:
Sameh Yassin
Hazim Tawfik

Keywords: reduced complexity; channel equalization, signal processing; division; multiplication

Abstract:
Decision Feedback Equalizers (DFE) are used to eliminate the effect of Inter Symbol Interference (ISI) in band limited channels. The Recursive Least Squares (RLS) is one of the algorithms that are used to update the coefficients of the equalizer due to its fast convergence. However, its complexity is in the order of O(N2) multiplication per iteration. Fast fixed order algorithms are used to solve the RLS algorithm using explicit set of equations. Therefore, their complexity is in the order of O(N). However, divisions are needed to perform these algorithms, making it difficult to choose the one with lower computational cost. In this paper a new metric is proposed to calculate a weight score for any algorithm. To verify the validity of the proposed metric, the algorithms are compared by a recent study of RLS based on Decent Coordinate Descent (DCD) iterations using computer simulation. In addition, a new method to optimize the weight score is proposed, by using multiplicative techniques to perform divisions required for the fast fixed algorithms. Results have been verified by implementing a DFE on Field Programmable Gate Array(FPGA)

Pages: 219 to 223

Copyright: Copyright (c) IARIA, 2013

Publication date: June 23, 2013

Published in: conference

ISSN: 2308-4030

ISBN: 978-1-61208-279-0

Location: Rome, Italy

Dates: from June 23, 2013 to June 28, 2013